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Bayesian Inference for Gene Expression and Proteomics

Name: Bayesian Inference for Gene Expression and Proteomics
Brand: Cambridge University Press
SKU: 01338554
Price: 27579 HUF
Availability: InStock
Author: Kim Anh Do
ISBN: 9781107636989

Kim Anh Do

Language

English

Book Paperback

Libristo code: 01338554

Publishers Cambridge University Press, April 2012

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts... Full description

Libristo code: 01338554

184 b

27 579 Ft

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The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.